Delete sauditrans.py

sauditrans.py

@@ -1,66 +0,0 @@
-import os
-import datasets
-import pandas as pd 
-
-_DESCRIPTION = """\
-This Saudi dataset is intended for speech translation from Saudi Arabic into English.
-"""
-
-_CITATION = "Some citation"
-
-_data_dir = "data"
-
-class SaudiTranslation(datasets.GeneratorBasedBuilder):
-   
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "path": datasets.Value("string"),
-                    "audio": datasets.Audio(sampling_rate=16_000),
-                    "sentence": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        download_dir = dl_manager.download_and_extract(
-            {
-                "files": os.path.join(_data_dir, "files.zip"),
-                "metadata": os.path.join(_data_dir, "metadata.zip")
-            }
-        )
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "split": datasets.Split.TRAIN,
-                    "data_dir": os.path.join(download_dir["files"], "files"),
-                    "metapath": os.path.join(download_dir["metadata"], "metadata", "train_dataset.csv"),
-                    
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "split": datasets.Split.TEST,
-                    "data_dir": os.path.join(download_dir["files"], "files"),
-                    "metapath": os.path.join(download_dir["metadata"], "metadata", "test_dataset.csv"),
-                    
-                },
-            ),
-        ]
-
-    def _generate_examples(self, data_dir, metapath, split):
-        metadata = pd.read_csv(metapath)
-        for key, row in metadata.iterrows():
-            audio_path = os.path.join(data_dir, row["audio"])
-            yield key, {
-                "audio": audio_path,
-                "sentence": row["text"],
-                "path": audio_path,
-            }